{"id":"W4401584973","doi":"10.5539/ijel.v14n5p35","title":"The Theme Progression Patterns in Popular Science Book Writing: A Systemic Functional Linguistics Approach","year":2024,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Science Education and Perceptions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Systemic functional linguistics; Cohesion (chemistry); Narrative; Popular science; Corpus linguistics; Coherence (philosophical gambling strategy); Presentation (obstetrics); Linguistics; Sociology; Perspective (graphical); Computer science; Science education; Pedagogy; Artificial intelligence; Chemistry; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005987327,0.0002573772,0.0003023132,0.008499344,0.001785721,0.004184008,0.0005460006,0.0004713705,0.002347065],"category_scores_gemma":[0.02120371,0.0003225478,0.0003190725,0.006550026,0.00383205,0.004340148,0.002315731,0.0008241181,0.0002499383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002315692,"about_ca_system_score_gemma":0.002174525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307903,"about_ca_topic_score_gemma":0.004316149,"domain_scores_codex":[0.9956203,0.002777596,0.0002872267,0.000461638,0.0006945125,0.0001586195],"domain_scores_gemma":[0.9735718,0.02051845,0.002530794,0.0007848555,0.002199912,0.0003942602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001769881,0.0001155349,0.07972393,0.0009803723,0.00003812233,0.0006497471,0.7652444,0.0003277186,0.007018014,0.04798491,0.001197916,0.0965424],"study_design_scores_gemma":[0.00004399416,0.0002536579,0.2028763,0.001132263,0.00008356343,0.001225388,0.6922971,0.008487654,0.004555731,0.04649942,0.04245454,0.00009041102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347604,0.0008260365,0.0354359,0.001168094,0.00004759958,0.0004336201,0.0004728024,0.00007837538,0.02677724],"genre_scores_gemma":[0.9789193,0.0003471685,0.01806093,0.00006851838,0.00002390426,0.0003872612,0.0002938972,0.00004285391,0.00185616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008499344,"threshold_uncertainty_score":0.03166443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870621667401186,"score_gpt":0.3902772915675139,"score_spread":0.341571074893502,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}